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Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition.

, , , , , , , and . WACV, page 998-1007. IEEE Computer Society, (2017)

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Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks., , , , and . MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 405-413. Springer, (2018)Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans., , , , , and . ISBI, page 1092-1095. IEEE, (2018)A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109501L. SPIE, (2019)Text Mining Radiology Reports for Deep Learning Radiology Images., , , , , and . AMIA, AMIA, (2017)NegBio: a high-performance tool for negation and uncertainty detection in radiology reports., , , , , and . CoRR, (2017)Automated abnormality classification of chest radiographs using deep convolutional neural networks., , , , , , , , , and 1 other author(s). npj Digit. Medicine, (2020)Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans., , , , , , and . ISBI, page 1230-1233. IEEE, (2018)Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data., , , , , , and . IEEE Trans. Medical Imaging, 39 (4): 1114-1126 (2020)Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition., , , , , , , and . WACV, page 998-1007. IEEE Computer Society, (2017)ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases., , , , , and . CVPR, page 3462-3471. IEEE Computer Society, (2017)